Presentation
Sophie Le Page and Theodore Morin
Authors
Xiaogang Han, Wei Wei, Chunyan Miao, Jian-Ping Mei, and Hengjie Song
How do we automatically retrieve the most context-relevant previously-seen web information without user intervention???
Sample User Scenario
Given a session and the targeting replier, generate a query to retrieve the most relevant PWIs from the target's document collection
The paper proposes the Context-Aware Personal Information Retrieval (CPIR) algorithm. The algorithm...
Challenges
Session
Step 1
Query formulation
and expansion
Step 2
Ranking the PWIs
Query Q is built by
KL-divergence method
Smoothing techniques
WordNet external source
Importance Ranking
Make final ranking with a linear combination of
Text
Tested on a FriendFeed dataset
Data was filtered to extract
To construct manual annotation results
Conclusion
Future Work